I think one of the things that makes science the company very special is that it has both of those cultures and is able to integrate them and we're able to simultaneously do some really cool research that I think is really at the edge of the Overton window while simultaneously running clinical trials in six countries now with an approved medical device in Europe and clinical trial results in the New England Journal of Medicine.
I told him what I believe: that in the age of AI, medicine will be bottlenecked more than ever by regulation and the grind of clinical trials, and that billions poured into faster pre-clinical research won’t touch that problem, unsexy as it is.
but I think that the thing that a lot of people will face is just like this question of like is it worth you know traveling so far to give up my current social context and that will put a limit on like how much people want to use this for
Likewise, self-diagnosis should be understood as an attempt to secure the therapeutic effect of a medical intervention to which patients do not have official access.
If a clinical diagnosis can have a therapeutic effect, then, at least in some instances, diagnoses are medical interventions in themselves and ought to be treated and researched as such, with an eye to both positive effects and potential iatrogenic harms.
Their experiences highlight a striking, neglected and unchristened medical phenomenon: The therapeutic effect of a clinical diagnosis, independent of any other intervention, where clinical diagnosis refers to situating the person's experiences into a clinical category by a clinician or the patient.
I just think about like really simple things like access to mental health care, access to education, access to medical advice, access to legal advice. We're essentially taking expertise and making it a commodity. And I think that will is generally democratizing.
Rapid AI progress does not automatically mean rapid medical progress. If the point of AI progress is human flourishing, we must make other complementary investments too.
Those are why I do not believe that AI could end disease within 10 years on its own, nor that 50-100 years of medical progress could occur 5-10 years after powerful AI due to AI progress alone
To summarize the above, my basic prediction is that AI-enabled biology and medicine will allow us to compress the progress that human biologists would have achieved over the next 50-100 years into 5-10 years.
In fact, I would say it’s more surprising that the matter that we know about is constitutes as big a fraction of the universe as it does. We’re limited, we’re human. The fact that we see 5% of the energy density of the universe, about one sixth of the energy density in matter, that’s remarkable.
Human error is blamed for over 90 percent of industrial and automobile accidents. It is the leading cause of aviation accidents, and medical error is reported to be the third-largest cause of death in the entire United States. Horrifying? Yes, but why do we label it “human error”? It is design error.
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